
doi: 10.1002/cav.1742
AbstractWe propose to automatically populate geo‐located virtual cities by harvesting and analyzing online contents shared on social networks and websites. We show how pose and motion paths of agents can be realistically rendered using information gathered from social media. 3D cities are automatically generated using open‐source information available online. To provide our final rendering of both static and dynamic urban scenes, we use Unreal game engine.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
